Artificiality: Minds Meeting Machines

97 Episodes

1. Michael Bungay Stanier: Staying Curious

   Published: 7/13/2021
2. Mollie Pettit: Visualizing Data

   Published: 7/7/2021
3. Josh Lovejoy: Designing AI

   Published: 6/29/2021
4. Kate O'Neill: Humanizing Tech

   Published: 6/21/2021
5. Tania Lombrozo: Intuition and data

   Published: 6/15/2021
6. Steven Sloman: Trusting knowledge

   Published: 6/7/2021
7. Rana el Kaliouby of Affectiva on emotional AI

   Published: 6/9/2020
8. Renée Cummings of Urban AI on urban AI

   Published: 6/7/2020
9. Maria Axente of PWC on ethical AI

   Published: 5/21/2020
10. Ted Kwartler of DataRobot on trusted AI

    Published: 5/12/2020
11. Arash Rahnama of Modzy on explainability, fairness and bias in AI

    Published: 4/15/2020
12. Scott Stephenson of Deepgram on end-to-end deep learning speech recognition

    Published: 4/8/2020
13. Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI

    Published: 4/1/2020
14. Chelsea Barabas on bias and power in AI

    Published: 3/25/2020
15. Are AI ethicists making any difference?

    Published: 3/11/2020
16. Another paradox: this time, explainability.

    Published: 3/4/2020
17. The Paradox of Personalization

    Published: 2/7/2020